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Data Engineer

ちゅらデータ株式会社

  • Terraform
  • BigQuery
  • Security
  • Tableau
  • Github Actions
  • Snowflake
  • BI
  • CloudFormation
  • Spark
  • Redshift
  • Looker
  • Jenkins
  • ITIL
  • dbt
  • DB
  • Airflow
  • PowerBI
  • Databricks
  • Looker Studio
  • Hive
  • Glue
  • Chef
  • Fivetran
  • trocco
  • EMR
  • Presto
  • IPA
  • DMBOK
  • Networking
  • Airbyte
  • JSTQB
  • Work Location Okinawa
  • Company employee count 11 to 100

Company Info

All data related to the software engineering of the customer is implemented, and support is provided to create value from the data. As a data engineer, we provide appropriate engineering for customer data that is affected by various environmental, shape, and situation, and provide data in a usable state.

Job Summary

As a data engineer (engineer), extensive knowledge and practical experience related to networking, security, and DB are required. In addition, experience in understanding and implementing appropriate engineering for customers and handling various data processing products and BI products is welcome. Furthermore, experience in team development and agile development methods, as well as experience in information processing technology exams and qualifications, is required.

Duties

As a data engineer, we develop a data platform that can be used for data analysis by customers, build a data pipeline that can handle large amounts of log data on a daily basis, and perform business operations such as providing a highly scalable data processing environment. In addition, we actively utilize extensive knowledge related to networking, security, and DB, and have experience in proposing to customers and providing extensive experience in customer data analysis and product development, as well as experience in data pipeline development and information processing technology exams and qualifications. Furthermore, we actively utilize extensive experience in the development of data processing products such as Redshift, BigQuery, Snowflake, and DWH, as well as experience in the use of distributed computing products such as Spark, Hive, Databricks, EMR, and Presto, and ETL products such as Airflow, Github Actions, Jenkins, and JP/1. We also actively utilize extensive experience in team development and agile development methods, as well as extensive knowledge of basic design, detailed design, implementation, testing, and workflow type development experiences, and extensive knowledge of product development and information processing technology exams and qualifications.

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Data Engineer

ちゅらデータ株式会社

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